在pandas数据帧中处理数据需要一些帮助.我们非常欢迎任何帮助.
我有CSV格式的OHCLV数据.我已将文件加载到pandas dataframe中.
如何将音量列从2.90K转换为2900或将5.2M转换为5200000.该列可以包含数千K的K和数百万的M.
import pandas as pd
file_path = '/home/fatjoe/UCHM.csv'
df = pd.read_csv(file_path, parse_dates=[0], index_col=0)
df.columns = [
"closing_price",
"opening_price",
"high_price",
"low_price",
"volume",
"change"]
df['opening_price'] = df['closing_price']
df['opening_price'] = df['opening_price'].shift(-1)
df = df.replace('-', 0)
df = df[:-1]
print(df.head())
Console:
Date
2016-09-23 0
2016-09-22 9.60K
2016-09-21 54.20K
2016-09-20 115.30K
2016-09-19 18.90K
2016-09-16 176.10K
2016-09-15 31.60K
2016-09-14 10.00K
2016-09-13 3.20K
Run Code Online (Sandbox Code Playgroud) 我用角度ui bootsrap创建了一个旋转木马.由于我加载了如此多的图像(超过1,000),我使用过滤器在分页中显示500张图片.
.filter('pages', function () {
return function (input, currentPage, pageSize) {
if (angular.isArray(input)) {
var start = (currentPage - 1) * pageSize;
var end = currentPage * pageSize;
return input.slice(start, end);
}
};
})
Run Code Online (Sandbox Code Playgroud)
控制器:
self.currentPage = 1;
self.itemsPerPage = 500;
self.maxSize = 10;
//imagesUrls is response.data from http call
angular.forEach(imagesUrls, function (parent) {
var date = uibDateParser.parse(parent.fileCreationTime, 'M/d/yyyy
hh:mm:ss a');
// fill our slide arrays with urls
// model update here
self.slides.push({
image: parent.fileName,
time: date, …Run Code Online (Sandbox Code Playgroud)