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MATPLOTLIB in one video | Matplotlib Tutorial in Hindi (part-2): Bar Charts
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#python
#matplotlib
#NG_Allrounder
*
*
*************Source code part - 1*******************
*
*
from matplotlib import pyplot as plt
import numpy as np
age_x=[25,26,27,28,29,30,31,32,33,34,35]
print(x_indexes)
width=0.25
py_dev_y=[45372,48876,53830,57287,63016,65998,70003,70000,71496,75370,83640]
dev_y=[38496,42000,46752,49320,53200,56000,62316,64928,67316,68748,73752]
*
*
******Source Code part -2 using Csv*********
*
*
from matplotlib import pyplot as plt
import numpy as np
from collections import Counter
import pandas as pd
import csv
lang_responses=data["LanguagesWorkedWith"]
language_counter=Counter()
for row in lang_responses:
language=[]
popularity=[]
Please subscribe to get these free videos...
#python
#matplotlib
#NG_Allrounder
*
*
*************Source code part - 1*******************
*
*
from matplotlib import pyplot as plt
import numpy as np
age_x=[25,26,27,28,29,30,31,32,33,34,35]
print(x_indexes)
width=0.25
py_dev_y=[45372,48876,53830,57287,63016,65998,70003,70000,71496,75370,83640]
dev_y=[38496,42000,46752,49320,53200,56000,62316,64928,67316,68748,73752]
*
*
******Source Code part -2 using Csv*********
*
*
from matplotlib import pyplot as plt
import numpy as np
from collections import Counter
import pandas as pd
import csv
lang_responses=data["LanguagesWorkedWith"]
language_counter=Counter()
for row in lang_responses:
language=[]
popularity=[]
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