What is the difference between a pandas Series and a single-column DataFrame?
Why does pandas make a distinction between a Series and a single-column DataFrame?
In other words: what is the reason of existence of the Series class?
pandas
getting the index of a row in a pandas apply function
I am trying to access the index of a row in a function applied across an entire DataFrame in Pandas. I have something like this:
Panda’s DataFrame – renaming multiple identically named columns
I have several columns named the same in a df. I need to rename them but the problem is that the df.rename method renames them all the same way. How I can rename the below blah(s) to blah1, blah4, blah5?
How to plot multi-color line if x-axis is date time index of pandas
I am trying to plot a multi-color line using pandas series. I know matplotlib.collections.LineCollection will sharply promote the efficiency.
But LineCollection require line segments must be float. I want to use datatime index of pandas as x-axis.
Converting between datetime and Pandas Timestamp objects
I have the following:
Replace column values based on another dataframe python pandas – better way?
Note:for simplicity’s sake, i’m using a toy example, because copy/pasting dataframes is difficult in stack overflow (please let me know if there’s an easy way to do this).
Reset color cycle in Matplotlib
Say I have data about 3 trading strategies, each with and without transaction costs. I want to plot, on the same axes, the time series of each of the 6 variants (3 strategies * 2 trading costs). I would like the “with transaction cost” lines to be plotted with alpha=1 and linewidth=1 while I want the “no transaction costs” to be plotted with alpha=0.25 and linewidth=5. But I would like the color to be the same for both versions of each strategy.
Python: Random selection per group
Say that I have a dataframe that looks like:
re.sub erroring with “Expected string or bytes-like object”
I have read multiple posts regarding this error, but I still can’t figure it out. When I try to loop through my function:
How to change the datetime tick label frequency for matplotlib plots
Below shows a plot of simulated data, which contains the xticks that I want to modify. By default, the pd.df.plot chooses dates that are approximately 3 months apart as ticks. But what I want is each month being a tick. What is the best way to do this? What about seasonal ticks? Thank you in advance.