# 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)
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
# import pandas as pd
import pandas as pd
# Calling DataFrame constructor
df = pd.DataFrame()
print(df)
d = {'col1': [1, 2], 'col2': [3, 4]}
>>> df = pd.DataFrame(data=d)
>>> df
col1 col2
0 1 3
1 2 4
>>> 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
df = pd.DataFrame ({"x": x_array, "y": y_array})
import pandas as pd
data = {
"calories" : [420, 380, 390],
"duration" : [50, 40, 45]
}
df = pd.DataFrame(data)
print(df)
import pandas as pd
# Creating a dictionary to store data
data = {'Name':['Tony', 'Steve', 'Bruce', 'Peter' ],
'Age': [35, 70, 45, 20] }
# Creating DataFrame
df = pd.DataFrame(data)
# Print the dataframe
df