diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml
index e335d625120b497a2e39923e2bc8f92c5052f8d6..e9c4705e2255e727a3ba8f7a7fec8574be57d4c1 100644
--- a/.gitlab-ci.yml
+++ b/.gitlab-ci.yml
@@ -1,8 +1,14 @@
 image: dtuwindenergy/wetb
 
+workflow:
+  rules:
+    - if: $CI_PIPELINE_SOURCE == "merge_request_event"
+      when: never
+    - when: always
 
 
-test-3.4:
+test:
+  image: continuumio/anaconda3:latest
   stage:
     test
 #  except:
@@ -10,13 +16,19 @@ test-3.4:
   before_script:
   - git submodule sync --recursive
   - git submodule update --init --recursive
+  - python -m pip install .
+  - pip3 install pytest mock click
   script:
-  - apt-get update
-  - pip3 install pytest
-  - pip3 install mock
-  - python3 -m pytest  --cov-report term-missing:skip-covered --cov=wetb
+  - python3 -m pytest --cov-report term-missing:skip-covered --cov-report xml:coverage.xml --cov=wetb
   tags:
-  - python
+  - docker, linux, shared
+  coverage: /(?i)total.*? (100(?:\.0+)?\%|[1-9]?\d(?:\.\d+)?\%)$/
+  artifacts:
+    reports:
+      coverage_report:
+        coverage_format: cobertura
+        path: coverage.xml
+
 
 
 # ===== build documentation =====
@@ -40,6 +52,33 @@ pages:  # "pages" is a job specifically for GitLab pages [1]
   tags:  # only runners with this tag can do the job [3]
   - python
 
+# Deploy package to local repository
+
+upload_package_local:
+  image: continuumio/anaconda3:latest
+  tags:
+    - docker, linux, shared
+  stage: deploy
+  needs:
+  - job: build_poetry_wheel
+    artifacts: true
+  - job: test
+    artifacts: false
+
+  script:
+    - pip install twine
+    - TWINE_PASSWORD=${CI_JOB_TOKEN} TWINE_USERNAME=gitlab-ci-token python -m twine upload --verbose --repository-url ${CI_API_V4_URL}/projects/${CI_PROJECT_ID}/packages/pypi dist/*
+  
+  rules:
+    - if: $CI_COMMIT_TAG != null
+      when: always
+    - if: $CI_COMMIT_BRANCH == "master"
+      when: always
+    - if: $CI_COMMIT_BRANCH != "master"
+      when: manual
+      allow_failure: true
+
+
 
   # ===== BUILD WHEELS AND UPLOAD TO PYPI =====
 pypi_linux:
@@ -74,3 +113,18 @@ pypi_windows:
   tags:
     - CPAV_old
 
+build_poetry_wheel:
+  stage: build
+  tags:
+    - linux, docker, shared
+  image: registry.windenergy.dtu.dk/hawc2/hawc2-binary/dockerimages/ubuntu_conda
+  before_script:
+    - git config --global --add safe.directory ${CI_PROJECT_DIR}
+    - pip install jinja2 gitpython
+  script:
+    - python ./update_pyproject.py
+    - poetry build
+  artifacts:
+    paths:
+      - dist/*
+    expire_in: "1d"
diff --git a/poetry.lock b/poetry.lock
new file mode 100644
index 0000000000000000000000000000000000000000..0faa4f808e5d28fa9ede8bc16e29886da89eb9f5
--- /dev/null
+++ b/poetry.lock
@@ -0,0 +1,1368 @@
+# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand.
+
+[[package]]
+name = "bcrypt"
+version = "4.0.1"
+description = "Modern password hashing for your software and your servers"
+optional = false
+python-versions = ">=3.6"
+files = [
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+    {file = "bcrypt-4.0.1-cp36-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.manylinux_2_24_aarch64.whl", hash = "sha256:08d2947c490093a11416df18043c27abe3921558d2c03e2076ccb28a116cb6d0"},
+    {file = "bcrypt-4.0.1-cp36-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0eaa47d4661c326bfc9d08d16debbc4edf78778e6aaba29c1bc7ce67214d4410"},
+    {file = "bcrypt-4.0.1-cp36-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ae88eca3024bb34bb3430f964beab71226e761f51b912de5133470b649d82344"},
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+    {file = "bcrypt-4.0.1-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bf4fa8b2ca74381bb5442c089350f09a3f17797829d958fad058d6e44d9eb83c"},
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+    {file = "bcrypt-4.0.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cbb03eec97496166b704ed663a53680ab57c5084b2fc98ef23291987b525cb7d"},
+    {file = "bcrypt-4.0.1-pp38-pypy38_pp73-manylinux_2_24_x86_64.whl", hash = "sha256:5ad4d32a28b80c5fa6671ccfb43676e8c1cc232887759d1cd7b6f56ea4355215"},
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+    {file = "bcrypt-4.0.1.tar.gz", hash = "sha256:27d375903ac8261cfe4047f6709d16f7d18d39b1ec92aaf72af989552a650ebd"},
+]
+
+[package.extras]
+tests = ["pytest (>=3.2.1,!=3.3.0)"]
+typecheck = ["mypy"]
+
+[[package]]
+name = "blosc2"
+version = "2.0.0"
+description = "Python wrapper for the C-Blosc2 library."
+optional = false
+python-versions = ">=3.8, <4"
+files = [
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+python-versions = ">=3.7"
+files = [
+    {file = "zipp-3.15.0-py3-none-any.whl", hash = "sha256:48904fc76a60e542af151aded95726c1a5c34ed43ab4134b597665c86d7ad556"},
+    {file = "zipp-3.15.0.tar.gz", hash = "sha256:112929ad649da941c23de50f356a2b5570c954b65150642bccdd66bf194d224b"},
+]
+
+[package.extras]
+docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+testing = ["big-O", "flake8 (<5)", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"]
+
+[metadata]
+lock-version = "2.0"
+python-versions = "^3.8"
+content-hash = "c8f0956fd7460ae252e0a840207eaeebe260e1edb115159d80b0b00cb5515b75"
diff --git a/pyproject.template b/pyproject.template
new file mode 100644
index 0000000000000000000000000000000000000000..db2b6ec1fe15ec94d08e068fa668fc58f3e3da1b
--- /dev/null
+++ b/pyproject.template
@@ -0,0 +1,38 @@
+[tool.poetry]
+name = "wetb"
+version = "{{ version }}"
+description = "{{ description }}"
+authors = ["DTU Wind and Energy Systems <you@example.com>"]
+license = "{{ license }}"
+readme = "README.md"
+
+[tool.poetry.dependencies]
+click = "^8.1.3"
+Cython = "^0.29.35"
+h5py = "^3.8.0"
+Jinja2 = "^3.1.2"
+lxml = "^4.9.2"
+matplotlib = "^3.7.1"
+mock = "^5.0.2"
+numpy = ">=1.4"
+openpyxl = "^3.1.2"
+pandas = "^1.1.5"
+paramiko = "^3.2.0"
+pbr = "^5.11.1"
+psutil = "^5.9.5"
+pytest = "^7.3.1"
+pytest-cov = "^4.1.0"
+python = "^3.6"
+scipy = ">=0.9"
+six = "^1.16.0"
+sshtunnel = "^0.4.0"
+tables = "^3.8.0"
+tqdm = "^4.65.0"
+#wafo = "^0.11"
+xlwt = "^1.3.0"
+XlsxWriter = "^3.1.2"
+
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"
diff --git a/pyproject.toml b/pyproject.toml
new file mode 100644
index 0000000000000000000000000000000000000000..28fe3849128293748e89542f36e818d8e8767a8c
--- /dev/null
+++ b/pyproject.toml
@@ -0,0 +1,38 @@
+[tool.poetry]
+name = "wetb"
+version = "0.1.0"
+description = "The Wind Energy Toolbox (or wetb, pronounce as wee-tee-bee) is a collection of Python scripts that facilitate working with (potentially a lot) of HAWC2, HAWCStab2, FAST or other text input based simulation tools."
+authors = ["Your Name <you@example.com>"]
+license = "wetb is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License (GPL, http://www.gnu.org/copyleft/gpl.html) as published by the Free Software Foundation; either version 3 of the License, or (at your option) any later version. wetb is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details http://www.gnu.org/licenses/ We encourage you to submit new code for possible inclusion in future versions of wetb."
+readme = "README.md"
+
+[tool.poetry.dependencies]
+click = "^8.1.3"
+Cython = "^0.29.35"
+h5py = "^3.8.0"
+Jinja2 = "^3.1.2"
+lxml = "^4.9.2"
+matplotlib = "^3.7.1"
+mock = "^5.0.2"
+numpy = ">=1.4"
+openpyxl = "^3.1.2"
+pandas = "^1.1.5"
+paramiko = "^3.2.0"
+pbr = "^5.11.1"
+psutil = "^5.9.5"
+pytest = "^7.3.1"
+pytest-cov = "^4.1.0"
+python = "^3.6"
+scipy = ">=0.9"
+six = "^1.16.0"
+sshtunnel = "^0.4.0"
+tables = "^3.8.0"
+tqdm = "^4.65.0"
+#wafo = "^0.11"
+xlwt = "^1.3.0"
+XlsxWriter = "^3.1.2"
+
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"
diff --git a/update_pyproject.py b/update_pyproject.py
new file mode 100644
index 0000000000000000000000000000000000000000..03c013443e6da701f777ba09b7c7053d72b6f053
--- /dev/null
+++ b/update_pyproject.py
@@ -0,0 +1,37 @@
+# %%
+import jinja2 as j2
+import git
+
+# Generating license and description from the license.txt document, and the introduction paragraph of the readme.md
+with open("LICENSE.txt") as f:
+    license = " ".join(f.read().split("\n")).lstrip().rstrip()
+
+with open("README.md") as f:
+    readme = f.read().split("\n# ")
+    for section in readme:
+        if section.startswith("Introduction"):
+            description = " ".join(section.split("\n")[1:]).lstrip().rstrip()
+
+# Getting the package version.
+repo = git.cmd.Git("./")
+v = repo.describe("--tags").split("-")
+version_string = f"{v[0]}.dev{v[1]}+{v[2]}"
+
+
+# %% Applying the information to the template
+
+templateLoader = j2.FileSystemLoader(searchpath="./")
+templateEnv = j2.Environment(loader=templateLoader)
+TEMPLATE_FILE = "pyproject.template"
+template = templateEnv.get_template(TEMPLATE_FILE)
+outputText = template.render(
+    {
+        "description": description,
+        "license": license,
+        "version": version_string
+    }
+)
+
+# Writing the rendered template to the pyproject.toml file
+with open("pyproject.toml", "w") as f:
+    f.write(outputText)
diff --git a/wetb/fatigue_tools/rainflowcounting/peak_trough.py b/wetb/fatigue_tools/rainflowcounting/peak_trough.py
index e0d675a95fdc860f5639cadf1d476eb52696d79a..5f290b956cb3ba23cd0de2e14a9c79a56628e244 100644
--- a/wetb/fatigue_tools/rainflowcounting/peak_trough.py
+++ b/wetb/fatigue_tools/rainflowcounting/peak_trough.py
@@ -19,7 +19,7 @@ def peak_trough(x, R):  # cpdef np.ndarray[long,ndim=1] peak_trough(np.ndarray[l
     MINZO = 1
     MAXZO = 2
     ENDZO = 3
-    S = np.zeros(x.shape[0] + 1, dtype=np.int)
+    S = np.zeros(x.shape[0] + 1, dtype=int)
 
     L = x.shape[0]
     goto = BEGIN
diff --git a/wetb/fatigue_tools/rainflowcounting/peak_trough.pyx b/wetb/fatigue_tools/rainflowcounting/peak_trough.pyx
index f65a24388482a0ca92aa1b94b6957ad17e2af6d4..bcc1c53c1a88a9602f91847955be841cc0de3b57 100755
--- a/wetb/fatigue_tools/rainflowcounting/peak_trough.pyx
+++ b/wetb/fatigue_tools/rainflowcounting/peak_trough.pyx
@@ -22,7 +22,7 @@ cpdef np.ndarray[long,ndim=1] peak_trough(np.ndarray[long,ndim=1] x, int R):
     MINZO = 1
     MAXZO = 2
     ENDZO = 3
-    S = np.zeros(x.shape[0] + 1, dtype=np.int)
+    S = np.zeros(x.shape[0] + 1, dtype=int)
 
     L = x.shape[0]
     goto = BEGIN
diff --git a/wetb/fatigue_tools/rainflowcounting/rainflowcount.py b/wetb/fatigue_tools/rainflowcounting/rainflowcount.py
index 9ca9403a33b1972f1acbd0f4f233742fc4ad14c0..31777b0f4b79d3eb8b9bbb0c5772f31c57881c37 100644
--- a/wetb/fatigue_tools/rainflowcounting/rainflowcount.py
+++ b/wetb/fatigue_tools/rainflowcounting/rainflowcount.py
@@ -64,7 +64,7 @@ def rainflow_windap(signal, levels=255., thresshold=(255 / 50)):
     if np.nanmax(signal) > 0:
         gain = np.nanmax(signal) / levels
         signal = signal / gain
-        signal = np.round(signal).astype(np.int)
+        signal = np.round(signal).astype(int)
 
 
         # If possible the module is compiled using cython otherwise the python implementation is used
diff --git a/wetb/prepost/Simulations.py b/wetb/prepost/Simulations.py
index ad872e923ab4af8991ab92525dded630d7831504..8fb188a582413c694e1eb92e1a37a53d53720f25 100755
--- a/wetb/prepost/Simulations.py
+++ b/wetb/prepost/Simulations.py
@@ -4352,11 +4352,11 @@ class Cases(object):
                 try:
                     df_dict2[str(colkey)] = np.array(col, dtype=np.float64)
                 except ValueError:
-                    df_dict2[str(colkey)] = np.array(col, dtype=np.str)
+                    df_dict2[str(colkey)] = np.array(col, dtype=str)
             except TypeError:
                 # in all other cases, make sure we have converted them to
                 # strings and NOT unicode
-                df_dict2[str(colkey)] = np.array(col, dtype=np.str)
+                df_dict2[str(colkey)] = np.array(col, dtype=str)
             except Exception as e:
                 print('failed to convert column %s to single data type' % colkey)
                 raise(e)
diff --git a/wetb/prepost/misc.py b/wetb/prepost/misc.py
index f020ef2ea866cbec7ee8755378f49d80d785f5bc..02e82f96d89693ae94cb9d8a737acfec87e32e91 100644
--- a/wetb/prepost/misc.py
+++ b/wetb/prepost/misc.py
@@ -1141,21 +1141,21 @@ def df_dict_check_datatypes(df_dict):
         # in case we have unicodes instead of strings, we need to convert
         # to strings otherwise the saved .h5 file will have pickled elements
         try:
-            df_dict2[str(colkey)] = np.array(col, dtype=np.int32)
+            df_dict2[str(colkey)] = np.array(col, dtype=int)
         except OverflowError:
             try:
-                df_dict2[str(colkey)] = np.array(col, dtype=np.int64)
+                df_dict2[str(colkey)] = np.array(col, dtype=int)
             except OverflowError:
-                df_dict2[str(colkey)] = np.array(col, dtype=np.float64)
+                df_dict2[str(colkey)] = np.array(col, dtype=float)
         except ValueError:
             try:
-                df_dict2[str(colkey)] = np.array(col, dtype=np.float64)
+                df_dict2[str(colkey)] = np.array(col, dtype=float)
             except ValueError:
-                df_dict2[str(colkey)] = np.array(col, dtype=np.str)
+                df_dict2[str(colkey)] = np.array(col, dtype=str)
         except TypeError:
             # in all other cases, make sure we have converted them to
             # strings and NOT unicode
-            df_dict2[str(colkey)] = np.array(col, dtype=np.str)
+            df_dict2[str(colkey)] = np.array(col, dtype=str)
         except Exception as e:
             print('failed to convert column %s to single data type' % colkey)
             raise(e)
diff --git a/wetb/prepost/tests/test_windIO.py b/wetb/prepost/tests/test_windIO.py
index 68d3143aa80cdf1c981cc7cda71b608eb55758a9..922c352f63e5e45a16f4b7e83beba52f57daed6d 100644
--- a/wetb/prepost/tests/test_windIO.py
+++ b/wetb/prepost/tests/test_windIO.py
@@ -279,7 +279,7 @@ class TestsLoadResults(unittest.TestCase):
 
         # print(df1.pos[14], df2.pos[14])
         # the pos columns contains also tuples, read from csv doesn't get that
-        # df1['pos'] = df1['pos'].astype(np.str)
+        # df1['pos'] = df1['pos'].astype(str)
         # df1['pos'] = df1['pos'].str.replace("'", "")
         # print(df1.pos[14], df2.pos[14])
 
diff --git a/wetb/signal/filters/cy_filters.py b/wetb/signal/filters/cy_filters.py
index 1d0b2e2073c08a7698aab1499adca1a744c77c3e..a18839e66fc35fba594c3a17d5bea4599a150a8b 100644
--- a/wetb/signal/filters/cy_filters.py
+++ b/wetb/signal/filters/cy_filters.py
@@ -14,7 +14,7 @@ import numpy as np
 @cython.locals(alpha=cython.float, i=cython.int)
 def cy_low_pass_filter(inp, delta_t, tau):  #cpdef cy_low_pass_filter(np.ndarray[double,ndim=1] inp, double delta_t, double tau):
     #cdef np.ndarray[double,ndim=1] output
-    output = np.empty_like(inp, dtype=np.float)
+    output = np.empty_like(inp, dtype=np.float32)
     output[0] = inp[0]
 
     alpha = delta_t / (tau + delta_t)
@@ -27,7 +27,7 @@ def cy_dynamic_low_pass_filter(inp, delta_t, tau, method=1):  #cpdef cy_dynamic_
     #cdef np.ndarray[double,ndim=1] output, alpha
     #cdef int i
 
-    output = np.empty_like(inp, dtype=np.float)
+    output = np.empty_like(inp, dtype=np.float32)
     output[0] = inp[0]
 
     if method == 1:
@@ -46,7 +46,7 @@ def cy_dynamic_low_pass_filter_2d(inp, delta_t, tau, method=1):  #cpdef cy_dynam
     #cdef np.ndarray[double,ndim=2] output, alpha
     #cdef int i
 
-    output = np.empty_like(inp, dtype=np.float)
+    output = np.empty_like(inp, dtype=np.float32)
     output[0] = inp[0]
 
     if method == 1:
@@ -64,7 +64,7 @@ def cy_dynamic_low_pass_filter_2d(inp, delta_t, tau, method=1):  #cpdef cy_dynam
 def cy_dynamic_low_pass_filter_test(inp):  #cpdef cy_dynamic_low_pass_filter_test(np.ndarray[double,ndim=2] inp):
     #cdef np.ndarray[double,ndim=2] output, alpha
     #cdef int i
-    output = np.empty_like(inp, dtype=np.float)
+    output = np.empty_like(inp, dtype=np.float32)
     output[0] = inp[0]
     for i in range(1, inp.shape[0]):
         output[i] = inp[i]
@@ -74,7 +74,7 @@ def cy_dynamic_low_pass_filter_test(inp):  #cpdef cy_dynamic_low_pass_filter_tes
 @cython.locals(alpha=cython.float, i=cython.int)
 def cy_high_pass_filter(inp, delta_t, tau):  #cpdef cy_high_pass_filter(np.ndarray[double,ndim=1] inp, double delta_t, double tau):
     #cdef np.ndarray[double,ndim=1] output
-    output = np.empty_like(inp, dtype=np.float)
+    output = np.empty_like(inp, dtype=np.float32)
     output[0] = inp[0]
     alpha = tau / (tau + delta_t)
     for i in range(1, inp.shape[0]):
diff --git a/wetb/signal/fit/_bin_fit.py b/wetb/signal/fit/_bin_fit.py
index 42505f4d74da49cb6b065e9796aa2b11b6e114a6..43076ab5ad4220e0c437940e1895778873d14084 100644
--- a/wetb/signal/fit/_bin_fit.py
+++ b/wetb/signal/fit/_bin_fit.py
@@ -157,7 +157,7 @@ def perpendicular_bin_fit(x, y, bins=30, fit_func=None, bin_min_count=3, plt=Non
     last = (-1, 0)
 
     pc = []
-    used = np.zeros_like(x).astype(np.bool)
+    used = np.zeros_like(x).astype(bool)
     for i in range(0, len(nx)):
         i1, i2 = max(0, i - 1), min(len(nx) - 1, i + 1)
         a = -(nx[i2] - nx[i1]) / (ny[i2] - ny[i1])
diff --git a/wetb/signal/fit/_fourier_fit.py b/wetb/signal/fit/_fourier_fit.py
index ae2e9b4ca21ef21eb92705a48ab6d1d19ee24e95..8ebe52e319513e6d66ec8a322049819d6f3278e0 100644
--- a/wetb/signal/fit/_fourier_fit.py
+++ b/wetb/signal/fit/_fourier_fit.py
@@ -13,13 +13,13 @@ def fourier_fit(y, max_nfft, x=None):
     return d, lambda deg : np.interp(deg%360, d, F2x(x2F(y, max_nfft, x)))
 
 def fourier_fit_old(y, nfft):
-    F = np.zeros(len(y), dtype=np.complex)
+    F = np.zeros(len(y), dtype=complex)
     F[:nfft + 1] = x2F(y, nfft)[:nfft + 1]
     return np.fft.ifft(F) * len(F)
 
 def F2x(F_coefficients):
     """Compute signal from Fourier coefficients"""
-    F = np.zeros(360, dtype=np.complex)
+    F = np.zeros(360, dtype=complex)
     nfft = len(F_coefficients) // 2
     F[:nfft + 1] = np.conj(F_coefficients[:nfft + 1])
     F[1:nfft + 1] += (F_coefficients[-nfft:][::-1])
@@ -53,7 +53,7 @@ def x2F(y, max_nfft, x=None):
         b[r] = 2 * np.nansum(y * np.sin(i * theta))
     AB = np.linalg.solve(a, b)
 
-    F = np.zeros(n, dtype=np.complex)
+    F = np.zeros(n, dtype=complex)
 
     F = np.r_[AB[0], (AB[1:nfft + 1] + 1j * AB[nfft + 1:]), np.zeros(nfft) ]
     return F
@@ -73,5 +73,5 @@ def rF2x(rF):
     """Convert single sided Fourier components, that satisfies x(t) = sum(X(cos(iw)+sin(iw)), i=0..N) to non-complex signal"""
     rF = np.conj(rF)
     rF[1:] /= 2
-    rF = np.r_[rF, np.zeros(181 - len(rF), dtype=np.complex)]
+    rF = np.r_[rF, np.zeros(181 - len(rF), dtype=complex)]
     return np.fft.irfft(rF) * 360
diff --git a/wetb/signal/subset_mean.py b/wetb/signal/subset_mean.py
index 73fe6e6f767082af0411fb70d0079fa158bc1627..0a1dca75ebcaf37ab948c12a8991e83d490d8401 100644
--- a/wetb/signal/subset_mean.py
+++ b/wetb/signal/subset_mean.py
@@ -204,7 +204,7 @@ def revolution_trigger(rotor_position, sample_frq, rotor_speed, max_rev_diff=1,
             # >1 missing triggers
             raise NotImplementedError
         trigger_indexes.extend([np.mean(trigger_indexes[i:i + 2]) for i in np.where(rpm_rs > rpm_i * 1.9)[0]])
-        trigger_indexes = np.sort(trigger_indexes).astype(np.int)
+        trigger_indexes = np.sort(trigger_indexes).astype(int)
 
         i1, i2 = trigger_indexes[0], trigger_indexes[-1]
         nround_rotor_speed = np.nansum(rotor_speed[i1:i2] / 60 / sample_frq)
diff --git a/wetb/signal/tests/test_interpolation.py b/wetb/signal/tests/test_interpolation.py
index 387313b9bfa8bff0be46d182c6f2176f22e25697..48630b7d6452e4a823906b27b9e2f86ee3dfa01c 100644
--- a/wetb/signal/tests/test_interpolation.py
+++ b/wetb/signal/tests/test_interpolation.py
@@ -39,10 +39,10 @@ class TestInterpolation(unittest.TestCase):
         #yp = [0.0, 1.0, 2.0, 5.0, 6.0, nan, 8.0, 9.0]
 
         y = signal.interpolate(x, xp, yp)
-        np.testing.assert_array_equal(y[~np.isnan(y)], [0., 0.5, 1. , 1.5, 2. , 2.5, 3. , 3.5, 4. , 4.5, 5. , 5.5, 8. , 8.5, 9. ])
+        np.testing.assert_array_equal(y[~np.isnan(y)], [0., 0.5, 1. , 1.5, 2. , 2.5, 3. , 3.5, 4. , 4.5, 5. , 5.5, 6., 8. , 8.5, 9. ])
 
         y = signal.interpolate(x, xp, yp, 10)
-        np.testing.assert_array_equal(y[~np.isnan(y)], [ 0. , 0.5, 1. , 1.5, 2. , 5. , 5.5, 8. , 8.5, 9. ])
+        np.testing.assert_array_equal(y[~np.isnan(y)], [ 0. , 0.5, 1. , 1.5, 2. , 5. , 5.5, 6., 8. , 8.5, 9. ])
 
 
 
diff --git a/wetb/utils/rotation.py b/wetb/utils/rotation.py
index e0e50e8b3572219946f9f825796652b8d2fa75ff..c2fd5220d746d94db9b96077cd8f155278129ad9 100644
--- a/wetb/utils/rotation.py
+++ b/wetb/utils/rotation.py
@@ -264,7 +264,7 @@ def _rotate(v, angle, rotfunc):
     if len(v.shape) == 1:
         assert angle.shape[0] == 1
         assert v.shape[0] == 3
-        return np.array(rotfunc(v[0], v[1], v[2], cos, sin), dtype=float).T
+        return np.array(rotfunc(v[0], v[1], v[2], cos[0], sin[0]), dtype=float).T
     else:
         assert angle.shape[0] == 1 or angle.shape[0] == v.shape[0]
         assert v.shape[1] == 3
diff --git a/wetb/wind/tests/test_weibull.py b/wetb/wind/tests/test_weibull.py
index 79ea109b13738dc430b7fd645c9e5dec545e5f43..8895b312a3917e1b8996def5c796db1cad21a414 100644
--- a/wetb/wind/tests/test_weibull.py
+++ b/wetb/wind/tests/test_weibull.py
@@ -21,7 +21,7 @@ class TestWeibull(unittest.TestCase):
 
     def test_random_weibull(self):
         y = weibull.random(4, 2, 1000000)
-        pdf, x = np.histogram(y, 100, normed=True)
+        pdf, x = np.histogram(y, 100, density=True)
         x = (x[1:] + x[:-1]) / 2
         self.assertLess(sum((pdf - weibull.pdf(4, 2)(x)) ** 2), 0.0001)
         if 0:
@@ -36,7 +36,7 @@ class TestWeibull(unittest.TestCase):
         self.assertAlmostEqual(A, 4, delta=0.01)
         self.assertAlmostEqual(k, 2, delta=0.01)
         if 0:
-            plt.hist(y, 100, normed=True)
+            plt.hist(y, 100, density=True)
             x = np.arange(0, 20, .1)
             plt.plot(x, weibull.pdf(4, 2)(x))
             plt.show()
diff --git a/wetb/wind/weibull.py b/wetb/wind/weibull.py
index 43ef0188ca9a11dc39cdf45aae2a0821f196a61e..3b07c83fdb4d2ce7b5aaae904dc352345b5dd347 100644
--- a/wetb/wind/weibull.py
+++ b/wetb/wind/weibull.py
@@ -103,7 +103,7 @@ def fit(wsp):
 if __name__ == "__main__":
     from wetb.wind import weibull
     from pylab import hist, show, plot
-    hist(weibull.random(10, 2, 10000), 20, normed=True)
+    hist(weibull.random(10, 2, 10000), 20, density=True)
     wsp = np.arange(0, 20, .5)
     plot(wsp, weibull.pdf(10, 2)(wsp))
     show()