如何在 matplotlib 中绘制 200 行（时间序列）并使其在 x 轴上可读？

Question

Hey guys this is my code.

import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
import numpy as np

banco=pd.read_csv('banco central3.csv',index_col='Fecha',parse_dates=['Fecha'], usecols=. 
['RRII','Fecha'])
print(banco.head())
fig, ax = plt.subplots(figsize=(10, 10))

ax.bar(banco.index.values,
    banco['RRII'],
    color='purple')


ax.xaxis.set_major_locator(mdates.WeekdayLocator())
ax.xaxis.set_major_formatter(mdates.DateFormatter('%m-%Y'))


ax.set(xlabel="DATE",
   ylabel="RRII",
   title="\nReservas Internacionales")
plt.tight_layout()
plt.show()

The output, as a plot, is the following. The data (x-axis) is unreadable.

The datetime('Fecha') is about 200 rows. I want to clarity the X axis to become it readable.

and also i dont know why the barplot looks in that way (so separated among them). I want a classic barplot.

You see that the datatime is unreadable

the format of the data is this:

            RRII
Fecha             
2019-11-27  43.765
2019-11-28  43.736
2019-11-29  43.772
2019-02-12  43.731
2019-03-12  43.750

But i have 200 rows.

There is any way of making it? Thanks you very much

EDIT

I change the mdates.Daylocator to the m.dates.Monthlocator. and i added a Plt.setp function. Now my plot is not overlap but the line plot has no sense.

ax.xaxis.set_major_locator(mdates.MonthLocator())

plt.setp(ax.get_xticklabels(), rotation=30, 
horizontalalignment='right')

IMAGE HERE. I want the plot follow the RRII by datetime

Answer 1

To make the x axis readable, change the line

ax.xaxis.set_major_locator(mdates.WeekdayLocator())

to

ax.xaxis.set_major_locator(mdates.MonthLocator())

However, the usage of barplot is not advisable with 200 rows; use a normal plot:

ax.plot(banco['RRII'], '.', color='purple')

[edit: changed marker from line point]