def setup_method(self, method):
# aggregate multiple columns
self.df = DataFrame({
"key1": get_test_data(),
"key2": get_test_data(),
"data1": np.random.randn(N),
"data2": np.random.randn(N),
})
# exclude a couple keys for fun
self.df = self.df[self.df["key2"] > 1]
self.df2 = DataFrame({
"key1":
get_test_data(n=N // 5),
"key2":
get_test_data(ngroups=NGROUPS // 2, n=N // 5),
"value":
np.random.randn(N // 5),
})
index, data = tm.getMixedTypeDict()
self.target = DataFrame(data, index=index)
# Join on string value
self.source = DataFrame({
"MergedA": data["A"],
"MergedD": data["D"]
},
index=data["C"])
def setup_method(self, method):
# aggregate multiple columns
self.df = DataFrame({
'key1': get_test_data(),
'key2': get_test_data(),
'data1': np.random.randn(N),
'data2': np.random.randn(N)
})
# exclude a couple keys for fun
self.df = self.df[self.df['key2'] > 1]
self.df2 = DataFrame({
'key1':
get_test_data(n=N // 5),
'key2':
get_test_data(ngroups=NGROUPS // 2, n=N // 5),
'value':
np.random.randn(N // 5)
})
index, data = tm.getMixedTypeDict()
self.target = DataFrame(data, index=index)
# Join on string value
self.source = DataFrame({
'MergedA': data['A'],
'MergedD': data['D']
},
index=data['C'])
def setup_method(self, method):
# aggregate multiple columns
self.df = DataFrame({'key1': get_test_data(),
'key2': get_test_data(),
'data1': np.random.randn(N),
'data2': np.random.randn(N)})
# exclude a couple keys for fun
self.df = self.df[self.df['key2'] > 1]
self.df2 = DataFrame({'key1': get_test_data(n=N // 5),
'key2': get_test_data(ngroups=NGROUPS // 2,
n=N // 5),
'value': np.random.randn(N // 5)})
index, data = tm.getMixedTypeDict()
self.target = DataFrame(data, index=index)
# Join on string value
self.source = DataFrame({'MergedA': data['A'], 'MergedD': data['D']},
index=data['C'])
