def main():
print "get data"
data = cu.get_dataframe("train.csv")
print "sort by creation date"
data = data.sort_index(by="PostCreationDate")
print "cut off"
header = cu.get_header("train.csv")
splits = np.array_split(data, 3)
frames = [splits[0], splits[1]]
train_data = pd.concat(frames)
test_data = splits[2]
# cutoff = datetime.datetime(2012, 7, 18)
print "write to csv"
cu.write_sample("train_data.csv", header, train_data)
train_data.to_csv(os.path.join(cu.data_path, "train_data.csv"), index=False, header=header)
test_data.to_csv(os.path.join(cu.data_path, "test_data.csv"), index=False, header=header)
def main():
header, sample = sample_train(os.path.join(cu.data_path, "train.csv"))
cu.write_sample("train-sample1.csv", header, sample)
header, sample = sample_train(os.path.join(cu.data_path, "train-A.csv"))
cu.write_sample("train-A-sample1.csv", header, sample)
def main():
print("Reading the data", train_file)
header = cu.get_header(train_file)
records = cu.get_lines(train_file, lines)
cu.write_sample(output_file, header, records)
def main():
header, sample = sample_train(os.path.join(cu.data_path, "train.csv"))
cu.write_sample("train-sample1.csv", header, sample)
header, sample = sample_train(os.path.join(cu.data_path, "train-A.csv"))
save_sample("train-A-sample1.csv", header, sample)
def main():
# header, sample = sample_train("train.csv")
# cu.write_sample("train-sample1.csv", header, sample)
header, sample = sample_train("train_data.csv")
cu.write_sample("train-sample.csv", header, sample)
def main():
# header, sample = sample_train("train.csv")
# cu.write_sample("train-sample1.csv", header, sample)
header, sample = sample_train("train_data.csv")
cu.write_sample("train-sample.csv", header, sample)
