[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

Author: pre-commit-ci[bot]

docs/examples.md

@@ -1,5 +1,3 @@
 # Examples
 
 ::: examples
-
-

docs/user_guide.md

@@ -11,4 +11,3 @@ If *TextRDF.dump_rdf* method is called we will have following RDF triples in tri
 <Text#1> <title> "Hello, world!" .
 <Text#1> <text> "This is a test of Text" .
 ```
-

examples/__init__.py

@@ -1 +0,0 @@
-

examples/scripts/a0.py

@@ -14,6 +14,7 @@
 TestDF = typing.NewType("TestDF", pd.DataFrame)
 TestDF.columns = ["a"]
 
+
 @pf.register_dataframe_method
 def a0(df: pd.DataFrame) -> TestDF:
     """
@@ -22,7 +23,7 @@ def a0(df: pd.DataFrame) -> TestDF:
     # ipdb.set_trace()
     print("a0")
     return pd.DataFrame(df)
-    #return df
+    # return df
 
 
 if __name__ == "__main__":
@@ -39,5 +40,5 @@ def a0(df: pd.DataFrame) -> TestDF:
     # ipdb.set_trace()
     print(df1.describe())
 
-    pyjviz.save_dot(show_objects=True, popup_output = True)
-    #pyjviz.save_dot(show_objects=True, popup_output = False)
+    pyjviz.save_dot(show_objects=True, popup_output=True)
+    # pyjviz.save_dot(show_objects=True, popup_output = False)

examples/scripts/a00.py

@@ -35,8 +35,8 @@ def a0(df: pd.DataFrame) -> TestDF:
 
         t = pyjviz.Text("a0", inspect.getsource(a0))
         t.back.dump_rdf()
-        
+
     print(df1.describe())
     print(inspect.getsource(a0))
-    
+
     pyjviz.save_dot(show_objects=False)

examples/scripts/a2.py

@@ -7,37 +7,40 @@
 import typing
 import pandas as pd
 
-TestDF = typing.NewType('TestDF', pd.DataFrame)
-TestDF.columns = ['a']
+TestDF = typing.NewType("TestDF", pd.DataFrame)
+TestDF.columns = ["a"]
+
 
 @pf.register_dataframe_method
 def a0(df: pd.DataFrame) -> TestDF:
     print("a0")
-    #return pd.DataFrame(df)
-    #ret = df.shift()
-    ret = df; ret['a'] += 1
-    if 'b' in ret.columns:
-        ret = ret.drop('b', axis = 1, inplace = False)
+    # return pd.DataFrame(df)
+    # ret = df.shift()
+    ret = df
+    ret["a"] += 1
+    if "b" in ret.columns:
+        ret = ret.drop("b", axis=1, inplace=False)
     return ret
-    
+
+
 if __name__ == "__main__":
     print(TestDF, TestDF.__name__, TestDF.__supertype__)
     print(TestDF.columns)
 
     if 1:
         # NB: fix bug when projection is used
-        df = pd.DataFrame({'a': range(10)})
-        df['b'] = df.a
+        df = pd.DataFrame({"a": range(10)})
+        df["b"] = df.a
     else:
-        df = pd.DataFrame({'a': range(10), 'b': range(10)})
-        
-    #ipdb.set_trace()
+        df = pd.DataFrame({"a": range(10), "b": range(10)})
+
+    # ipdb.set_trace()
     with pyjviz.CB("c"):
         df0 = df.a0()
         df1 = df.a0().a0()
         df2 = df.a0()
 
-    #ipdb.set_trace()
+    # ipdb.set_trace()
     print(df1.describe())
 
-    pyjviz.save_dot(vertical = False, show_objects = True)
+    pyjviz.save_dot(vertical=False, show_objects=True)

examples/scripts/dirty-clean1.py

@@ -8,25 +8,36 @@
 import pyjviz
 
 if __name__ == "__main__":
-
     if 1:
         url = "https://github.com/pyjanitor-devs/pyjanitor/blob/dev/examples/notebooks/dirty_data.xlsx?raw=true"
-        dirty = pd.read_excel(url, engine = 'openpyxl')        
+        dirty = pd.read_excel(url, engine="openpyxl")
     else:
         dirty = pd.read_excel("../data/dirty_data.xlsx")
-        
+
     print(dirty)
 
     with pyjviz.CB("from_dirty_to_clean") as c:
-        clean = (dirty
-                 .clean_names()
-                 .dropna(axis='columns', how='all')
-                 .dropna(axis='rows', how='all')
-                 .rename(columns={"%_allocated": "percent_allocated", "full_time_": "full_time"})
-                 .assign(certification = lambda df: df.certification.combine_first(df.certification_1))
-                 .drop(columns='certification_1'))
-        clean = clean.assign(hire_date1 = clean.hire_date) # , hire_date = pd.to_datetime(clean.hire_date, unit='D', origin='1899-12-30'))
-                 
+        clean = (
+            dirty.clean_names()
+            .dropna(axis="columns", how="all")
+            .dropna(axis="rows", how="all")
+            .rename(
+                columns={
+                    "%_allocated": "percent_allocated",
+                    "full_time_": "full_time",
+                }
+            )
+            .assign(
+                certification=lambda df: df.certification.combine_first(
+                    df.certification_1
+                )
+            )
+            .drop(columns="certification_1")
+        )
+        clean = clean.assign(
+            hire_date1=clean.hire_date
+        )  # , hire_date = pd.to_datetime(clean.hire_date, unit='D', origin='1899-12-30'))
+
     print(clean)
 
-    pyjviz.save_dot(vertical = True, show_objects = False)
+    pyjviz.save_dot(vertical=True, show_objects=False)

examples/scripts/inplace.py

@@ -7,26 +7,28 @@
 import typing
 import pandas as pd
 
+
 @pf.register_dataframe_method
 def shift1(df: pd.DataFrame) -> pd.DataFrame:
-    df = df.shift(axis = 0, fill_value = 0)
-    #return pd.DataFrame(res_df)
+    df = df.shift(axis=0, fill_value=0)
+    # return pd.DataFrame(res_df)
     return df
 
+
 if __name__ == "__main__":
-    df = pd.DataFrame({'a0': range(10)})
+    df = pd.DataFrame({"a0": range(10)})
     if 0:
-        for i in range(1,5):
-            col = f'a{i}'
+        for i in range(1, 5):
+            col = f"a{i}"
             df[col] = df.a0
 
-    #ipdb.set_trace()
+    # ipdb.set_trace()
     with pyjviz.CB("c") as c:
         df0 = df.shift1()
         df1 = df.shift1().shift1()
         df2 = df.shift1()
 
-    #ipdb.set_trace()
+    # ipdb.set_trace()
     print(df1.describe())
 
-    pyjviz.save_dot(vertical = False, show_objects = True)
+    pyjviz.save_dot(vertical=False, show_objects=True)

examples/scripts/test-assign.py

@@ -13,7 +13,7 @@
 def a0(df: pd.DataFrame) -> pd.DataFrame:
     print("a0")
     return pd.DataFrame(df)
-    #return df
+    # return df
 
 
 def test_f(x):

misc/test-bs.py

@@ -6,18 +6,18 @@
     soup = BeautifulSoup(f, features="xml")
 
 # Find all <b> tags and replace them with <strong> tags
-for a_tag in soup.find_all('a'):
-    on_click_code = a_tag.attrs.get('xlink:href')
-    a_tag.parent.attrs['onclick'] = on_click_code.replace('javascript:', '')
-    a_tag.parent.attrs['cursor'] = 'pointer'
-    del a_tag.attrs['xlink:href']
-    del a_tag.attrs['xlink:title']
+for a_tag in soup.find_all("a"):
+    on_click_code = a_tag.attrs.get("xlink:href")
+    a_tag.parent.attrs["onclick"] = on_click_code.replace("javascript:", "")
+    a_tag.parent.attrs["cursor"] = "pointer"
+    del a_tag.attrs["xlink:href"]
+    del a_tag.attrs["xlink:title"]
 
-for a_tag in soup.find_all('a'):
+for a_tag in soup.find_all("a"):
     p_tag = a_tag.parent
     for c in a_tag.find_all():
         p_tag.insert(-1, c)
     a_tag.decompose()
-    
+
 # Print the modified HTML output
 print(soup.prettify())