ValueError: x and y must have same first dimension, but have shapes (11,) and (15406,

[buran]

is it np.array is up to you. it can be pandas dataframe or simple list
e.g.

import datetime as dt
import pandas as pd 
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
import random

days = mdates.HourLocator(byhour=(0, 12))   # every 12 hours
hours = mdates.HourLocator()

df = pd.read_excel('data.xlsx')
 
fig, ax = plt.subplots(figsize=(8, 6))
ax.xaxis.set_major_locator(days)
ax.xaxis.set_major_formatter(mdates.DateFormatter("%m-%d %H:%M"))
ax.xaxis.set_minor_locator(hours)
ax.plot(df.x, df.y, 'bo-')
ax.set(title='Active Calls', ylabel='Calls', xlabel='Time')
ax.grid()
 
ax.xaxis_date() # Default date formatter
fig.autofmt_xdate()
 
plt.show()

   

import datetime as dt
import pandas as pd 
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
import random

df = pd.read_excel('data.xlsx')
time = mdates.drange(dt.datetime(2021, 3, 1, 0, 0, 0), dt.datetime(2021, 3, 3, 1, 0, 0),
                     dt.timedelta(hours=6))
 
fig, ax = plt.subplots(figsize=(8, 6))
plt.xticks(time)
ax.xaxis.set_major_formatter(mdates.DateFormatter("%m-%d %H:%M"))
ax.plot(df.x, df.y, 'bo-')
ax.set(title='Active Calls', ylabel='Calls', xlabel='Time')
ax.grid()
 
ax.xaxis_date() # Default date formatter
fig.autofmt_xdate()
 
plt.show()