adviz - npm Package Compare versions

Comparing version 0.0.20 to 0.0.21

adviz.egg-info/PKG-INFO

 Metadata-Version: 2.1
 Name: adviz
-Version: 0.0.20
+Version: 0.0.21
 Summary: advertools visualizations
@@ -23,9 +23,21 @@ Home-page: https://github.com/eliasdabbas/adviz
 
-adviz
-================
+# adviz
 
+
 <!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! -->
 
-Get startd quickly and see exmaples below
+## About
 
+[`advertools`](https://github.com/eliasdabbas/advertools) is a package
+for the search (SEO/SEM) and digital marketing practitioner. It aims to
+help with various productivity and analysis tools.
+
+Part of the analysis process is producing specialized charts that tend
+to come up all the time. So, `adviz` aims to be a collection of charts
+that can help `advertools` users. Many of the charts can be used for
+many other workflows, and are not marketing-specific. Feel free to use,
+share, and suggest features for any of them.
+
+Get startd quickly and see exmaples below:
+
 ## Install
@@ -32,0 +44,0 @@

adviz/__init__.py

@@ -1,2 +0,2 @@
-__version__ = "0.0.20"
+__version__ = "0.0.21"
 
@@ -3,0 +3,0 @@ from .value_counts_plus import value_counts_plus

adviz/ecdf.py

@@ -6,3 +6,3 @@ # AUTOGENERATED! DO NOT EDIT! File to edit: ../nbs/08_ecdf.ipynb.
 
-# %% ../nbs/08_ecdf.ipynb 3
+# %% ../nbs/08_ecdf.ipynb 4
 import advertools as adv
@@ -12,4 +12,31 @@ import pandas as pd
 
-# %% ../nbs/08_ecdf.ipynb 5
-def ecdf(df, x, hover_name=None, height=None, width=None, **kwargs):
+# %% ../nbs/08_ecdf.ipynb 6
+def ecdf(
+    df,
+    x,
+    hover_name=None,
+    height=None,
+    width=None,
+    **kwargs):
+    """
+    Create an empirical cumulative distribution chart, a thin wrapper around px.ecdf.
+
+    Parameters
+    ----------
+    df : pandas.DataFrame
+        A DataFrame from which you want to visualize one of the columns' distribution.
+    x : str
+        The name of the column to visualize.
+    hover_name : str
+        The name of the column to use for labeling the markers on mouseover.
+    height : int
+        The height of the chart in pixels.
+    width : int
+        The width of the chart in pixels.
+
+    Returns
+    -------
+    ecdf : plotly.graph_objects.Figure
+        A plotly chart of the desired ecdf.
+    """
     df = df.sort_values(x)
@@ -29,7 +56,19 @@ df['count below'] = range(len(df))
         width=width,
-        hover_data=['count below', 'count above', 'total count'],
+        hover_data=['count below', 'count above', 'total count', hover_name],
         ecdfnorm='percent', **kwargs)
-    # fig.data[0].hovertemplate = f'<b>{x.replace("_", " ").title()}</b><br><br>{x}' + ': %{x}<br>percent: %{y}<br><br>count below: %{customdata[0]:,}<br>count above: %{customdata[1]:,}<br>total count: %{customdata[2]:,}<extra></extra>'
+    # fig.data[0].hovertemplate = '%{customdata[3]}' + f'<b>{x.replace("_", " ").title()}</b><br><br>{x}' + ': %{x}<br>percent: %{y}<br><br>count below: %{customdata[0]:,}<br>count above: %{customdata[1]:,}<br>total count: %{customdata[2]:,}<extra></extra>'
+    for data in fig.data:
+        if data.type in ['scatter', 'scattergl']:
+            data.marker.symbol = "circle-open"
+            data.marker.size = 11
+            prefix = '<b>%{customdata[3]}</b>' if hover_name is not None else ''
+            data.hovertemplate = prefix  + f'<br><br>{x}' + ': %{x}<br>percent: %{y:.1f}%<br><br>count below: %{customdata[0]:,}<br>count above: %{customdata[1]:,}<br>total count: %{customdata[2]:,}<extra></extra>'
     fig.update_yaxes(ticksuffix='%', showspikes=True)
     fig.update_xaxes(showspikes=True)
+    if fig.data[-1].type == 'histogram':
+        fig.layout.yaxis2.showspikes = False
+        fig.layout.xaxis2.showspikes = False
+        fig.layout.yaxis2.ticksuffix = ''
+        fig.layout.yaxis2.showticklabels = True
+        fig.layout.yaxis2.title = 'count'
     return fig

adviz/value_counts.py

@@ -6,3 +6,3 @@ # AUTOGENERATED! DO NOT EDIT! File to edit: ../nbs/07_value_counts.ipynb.
 
-# %% ../nbs/07_value_counts.ipynb 2
+# %% ../nbs/07_value_counts.ipynb 3
 import advertools as adv
@@ -12,3 +12,3 @@ import pandas as pd
 
-# %% ../nbs/07_value_counts.ipynb 3
+# %% ../nbs/07_value_counts.ipynb 4
 def value_counts(
@@ -15,0 +15,0 @@ data,

PKG-INFO

 Metadata-Version: 2.1
 Name: adviz
-Version: 0.0.20
+Version: 0.0.21
 Summary: advertools visualizations
@@ -23,9 +23,21 @@ Home-page: https://github.com/eliasdabbas/adviz
 
-adviz
-================
+# adviz
 
+
 <!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! -->
 
-Get startd quickly and see exmaples below
+## About
 
+[`advertools`](https://github.com/eliasdabbas/advertools) is a package
+for the search (SEO/SEM) and digital marketing practitioner. It aims to
+help with various productivity and analysis tools.
+
+Part of the analysis process is producing specialized charts that tend
+to come up all the time. So, `adviz` aims to be a collection of charts
+that can help `advertools` users. Many of the charts can be used for
+many other workflows, and are not marketing-specific. Feel free to use,
+share, and suggest features for any of them.
+
+Get startd quickly and see exmaples below:
+
 ## Install
@@ -32,0 +44,0 @@

README.md

@@ -1,8 +0,20 @@
-adviz
-================
+# adviz
 
+
 <!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! -->
 
-Get startd quickly and see exmaples below
+## About
 
+[`advertools`](https://github.com/eliasdabbas/advertools) is a package
+for the search (SEO/SEM) and digital marketing practitioner. It aims to
+help with various productivity and analysis tools.
+
+Part of the analysis process is producing specialized charts that tend
+to come up all the time. So, `adviz` aims to be a collection of charts
+that can help `advertools` users. Many of the charts can be used for
+many other workflows, and are not marketing-specific. Feel free to use,
+share, and suggest features for any of them.
+
+Get startd quickly and see exmaples below:
+
 ## Install
@@ -9,0 +21,0 @@

settings.ini

 [DEFAULT]
 repo = adviz
 lib_name = adviz
-version = 0.0.20
+version = 0.0.21
 min_python = 3.7
@@ -6,0 +6,0 @@ license = apache2

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Improved metrics

Total package byte prevSize

70637

4.38%

Lines of code

1589

2.38%