<h2>for循环解决方案</h2>
<p><strong><em>熊猫(原始代码)</em></strong></p>
<pre><code>import pandas as pd
# data from df_train.rawcensustractandblock.head()
pd_data = pd.Series([60371066.461001, 60590524.222024, 60374638.00300401,
60372963.002002, 60590423.381006])
# using series instead of dataframe
pd_raw_block = pd_data.apply(lambda x: str(x))
# adjust/set new tract number
pd_tractnumber = pd_raw_block.str.slice(4,11)
# set/adjust block number
pd_block_number = pd_raw_block.str.slice(11)
pd_block_number = pd_block_number.apply(lambda x: x[:4]+'.'+x[4:]+'0')
pd_block_number = pd_block_number.apply(lambda x: int(round(float(x),0)))
pd_block_number = pd_block_number.apply(lambda x: str(x).ljust(4,'0'))
# print(list(pd_tractnumber))
# print(list(pd_block_number))
</code></pre>
<p><strong><em>cuDF(解决方案代码)</em></strong></p>
<pre><code>import cudf
# data from df_train.rawcensustractandblock.head()
cudf_data = cudf.Series([60371066.461001, 60590524.222024, 60374638.00300401,
60372963.002002, 60590423.381006])
# using series instead of dataframe
cudf_tractnumber = cudf_data.values_to_string()
# adjust/set new tract number
for i in range(len(cudf_tractnumber)):
funct = slice(4,11)
cudf_tractnumber[i] = cudf_tractnumber[i][funct]
# using series instead of dataframe
cudf_block_number = cudf_data.values_to_string()
# set/adjust block number
for i in range(len(cudf_block_number)):
funct = slice(11, None)
cudf_block_number[i] = cudf_block_number[i][funct]
cudf_block_number[i] = cudf_block_number[i][:4]+'.'+cudf_block_number[i][4:]+'0'
cudf_block_number[i] = int(round(float(cudf_block_number[i]), 0))
cudf_block_number[i] = str(cudf_block_number[i]).ljust(4,'0')
# print(cudf_tractnumber)
# print(cudf_block_number)
</code></pre>