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How to skip empty dates (weekends) in a financial Matplotlib Python graph?
To skip weekends in a financial graph in matplotlib, we can iterate the time in dataframe and skip the plot if weekday is 5 or 6.
Steps
Set the figure size and adjust the padding between and around the subplots.
Create a dataframe with keys time.
Iterate zipped index and time of a date frame.
If iterated timestamp is having weekday 5 or 6, don't plot them.
Other than 5 or 6 weekday, plot the points.
Set the current tick locations of Y-axis.
Lay out a plot with grid lines.
To display the figure, use show() method.
Example
import pandas as pd from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True df = pd.DataFrame(dict(time=list(pd.date_range(start="2021-01-01", end="2021-01-15")))) for i, t in zip(df.index, df.time): if t.weekday() in (5, 6): pass else: plt.plot(i, t, marker="*", ms=10) plt.yticks(df.time) plt.grid(True) plt.show()
Output
Updated on: 01-Jun-2021
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