def test_impl():
return pd_read_csv(
"csv_data1.csv",
names=['C'],
dtype={'C': np.float},
usecols=[2],
)
def test_impl():
ct_dtype = CategoricalDtype(['A', 'B', 'C', 'D'])
df = pd_read_csv("csv_data_cat1.csv",
names=['C1', 'C2', 'C3'],
dtype={'C1': np.int, 'C2': ct_dtype, 'C3': str},
)
return df
def test_impl():
df = pd_read_csv(
"csv_data_dtype1.csv",
names=['C1', 'C2'],
dtype=np.float64,
)
return df
def test_impl():
dtype = {'A': 'int', 'B': 'float64', 'C': 'float', 'D': 'str'}
return pd_read_csv(
"csv_data1.csv",
names=dtype.keys(),
dtype=dtype,
)
def test_impl():
dtype = {'A': np.int, 'B': np.float, 'C': np.float, 'D': str}
return pd_read_csv(
"csv_data1.csv",
names=dtype.keys(),
dtype=dtype,
)
def test_impl():
return pd_read_csv("csv_data_date1.csv",
names=['A', 'B', 'C', 'D'],
dtype={
'A': np.int,
'B': np.float,
'C': str,
'D': np.int
})
def test_impl():
# names = ['C1', 'C2', 'C3']
ct_dtype = CategoricalDtype(['A', 'B', 'C'])
dtypes = {'C1': np.int, 'C2': ct_dtype, 'C3': str}
df = pd_read_csv("csv_data_cat1.csv",
# names=names, # Error: names should be constant list
names=['C1', 'C2', 'C3'],
dtype=dtypes
)
return df.C2
def test_impl():
df = pd_read_csv("csv_data1.csv",
names=['A', 'B', 'C', 'D'],
dtype={
'A': np.int,
'B': np.float,
'C': np.float,
'D': str
})
return (df.A.sum(), df.B.sum(), df.C.sum())
def test_impl():
df = pd_read_csv("csv_data_date1.csv",
names=['A', 'B', 'C', 'D'],
dtype={
'A': np.int,
'B': np.float,
'C': str,
'D': np.int
})
return (df.A.sum(), df.B.sum(), (df.C == '1966-11-13').sum(),
df.D.sum())
def test_impl():
df = pd_read_csv(
"csv_data1.csv",
names=['A', 'B', 'C', 'D'],
dtype={
'A': np.int,
'B': np.float,
'C': np.float,
'D': str
},
)
return df.B.values
def test_impl():
return pd_read_csv(
"csv_data1.csv",
names=['A', 'B', 'C', 'D'],
dtype={
'A': np.int,
'B': np.float,
'C': np.float,
'D': str
},
skiprows=2,
)
def test_impl():
df = pd_read_csv("csv_data_infer1.csv", skiprows=2,
names=['A', 'B', 'C', 'D'])
return df.A.sum(), df.B.sum(), df.C.sum()
def test_impl():
return pd_read_csv("csv_data_infer1.csv", skiprows=2)
def test_impl():
df = pd_read_csv("csv_data_infer1.csv")
return df.A.sum(), df.B.sum(), df.C.sum()
def test_impl():
return pd_read_csv("csv_data_infer1.csv")
