Рамка данни на панди

Примерен код

9
0

NU

import pandas as pd

data = {'First Column Name':  ['First value', 'Second value',...],
        'Second Column Name': ['First value', 'Second value',...],
         ....
        }

df = pd.DataFrame (data, columns = ['First Column Name','Second Column Name',...])

print (df)
5
0

NU

import numpy as np
import pandas as pd
vect1=np.zeros(10)
vect2=np.ones(10)
df=pd.DataFrame({'col1':vect1,'col2':vect2})
4
0

създаване на панди df

>>> d = {'col1': [1, 2], 'col2': [3, 4]}
>>> df = pd.DataFrame(data=d)
>>> df
   col1  col2
0     1     3
1     2     4
3
0

creata daframe python

d = {'col1': [1, 2], 'col2': [3, 4]}
df = pd.DataFrame(data=d)
df
3
0

NU

d = {'col1': [1, 2], 'col2': [3, 4]}
df = pd.DataFrame(data=d)
df
2
0

рамка данни

>>> data = np.array([(1, 2, 3), (4, 5, 6), (7, 8, 9)],
...                 dtype=[("a", "i4"), ("b", "i4"), ("c", "i4")])
>>> df3 = pd.DataFrame(data, columns=['c', 'a'])
...
>>> df3
   c  a
0  3  1
1  6  4
2  9  7
2
0

рамка данни панди

>>> df2 = pd.DataFrame(np.array([[23, 99, 78], [65, 95, 90], [90, 98, 96]]),
...                    columns=['krish', 'ishwar', 'raj'])
>>> df2
   a  b  c
0  1  2  3
1  4  5  6
2  7  8  9
1
0

рамка данни на python

import pandas as pd

data = {'First Column Name':  ['First value', 'Second value',...],
        'Second Column Name': ['First value', 'Second value',...],
         ....
        }

df = pd.DataFrame (data, columns = ['First Column Name','Second Column Name',...])
1
0

рамка данни на python

import pandas as pd

data = {'First Column Name':  ['First value', 'Second value',...],
        'Second Column Name': ['First value', 'Second value',...],
         ....
        }

df = pd.DataFrame (data, columns = ['First Column Name','Second Column Name',...])
0
0

рамка на данни в python

# Python code demonstrate creating 
# DataFrame from dict narray / lists 
# By default addresses.
 
import pandas as pd
 
# intialise data of lists.
data = {'Name':['Tom', 'nick', 'krish', 'jack'],
        'Age':[20, 21, 19, 18]}
 
# Create DataFrame
df = pd.DataFrame(data)
 
# Print the output.
print(df)

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