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Pandas timeseries plot setting X-axis major and minor ticks and labels
Using Pandas, we can create a dataframe with time and speed, and thereafter, we can use the data frame to get the desired plot.
Steps
Construct a new Generator with the default BitGenerator (PCG64).
Using Pandas, get a fixed frequency DatetimeIndex. From '2020-01-01' to '2021-01-01'.
Draw samples from a log-normal distribution.
Make a data frame with above data.
Using panda dataframe create plot, with figsize = (10, 5).
To show the figure, use the plt.show() method.
Example
import numpy as np import pandas as pd from matplotlib import pyplot as plt rng = np.random.default_rng(seed=1) date_day = pd.date_range(start='2020-01-01', end='2021-01-01', freq='D') traffic = rng.lognormal(sigma=2, size=date_day.size) df_day = pd.DataFrame(dict(speed=[pow(2, -i) for i in range(len(date_day))]), index=date_day) df_day.plot(figsize=(10, 5)) plt.show()
Output
Updated on: 16-Mar-2021
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