pbpython
pbpython copied to clipboard
chris1610
Code, Notebooks and Examples from Practical Business Python
Using: Pycharm 2018.2.4 Python 3.6 Just want to copy and run the code, but this is what I get: Traceback (most recent call last): File "C:/Users/Fabian/PycharmProjects/Thesis/stacked_bar_app.py", line 8, in "https://github.com/chris1610/pbpython/blob/master/data/salesfunnel.xlsx?raw=True"...
This issue is about the website, not the Python code. I didn't find a better way to report it, so I've put it here. In the [RSS feed](https://pbpython.com/feeds/all.atom.xml) the very...
The figure https://pbpython.com/images/pandas-dataframe-shadow.png, being in use on https://pbpython.com/pandas-list-dict.html, has a mistake in the upper right corner. The sales list should be ``` [("Jones LLC", 150, 200, 140), ("Alpha Co", 200,...
As instructed, all ipynb files run in sequence. 'Finished file: import\\produkt_tu_stunde_20190409_20201231_00096.txt' 'This is file 10' 'Shape of the main_df is: (851261, 1)' --------------------------------------------------------------------------- KeyError Traceback (most recent call last) in...
Hi, I ran your function analyze_ppt(input, output) through a slide with set template that I was given. I opened new file, set theme, saved and used as input for the...
@chris1610 First, Thanks for the good example of MonteCarlo Simulation. I'm trying to implement MonteCarlo for risk analysis. This is my simple data  On this data i've two types...
We have the method Path.name() to show the filename associated with a path, but there doesn't appear to a way to show the full file path without wrapping in a...
Thanks for the nice examples. Could you use: * Binder https://mybinder.org/ * NBviewer https://nbviewer.jupyter.org/ or similar to allow viewing of the visualizations?
Show an example of using this library - https://github.com/Bergvca/string_grouper https://bergvca.github.io/2017/10/14/super-fast-string-matching.html See the notes in the comments.
When grouping by month in the notebook below you use a `pd.Grouper` object: https://github.com/chris1610/pbpython/blob/d170f4475720ca8f5fdc6770214b8f90f2197f75/notebooks/pandas-styling.ipynb#L733-L735 ..whereas the same could be accomplished by simply using the `resample` method: ```python monthly_sales = df.resample('MS',...
