我正在尝试上传CSV文件,对其进行处理以生成结果,然后回写(下载)包含结果的新CSV文件.我是Flask的新手,我无法获得一个"正确"的csv.reader对象来迭代和处理.这是到目前为止的代码,
__author__ = 'shivendra'
from flask import Flask, make_response, request
import csv
app = Flask(__name__)
def transform(text_file_contents):
return text_file_contents.replace("=", ",")
@app.route('/')
def form():
return """
<html>
<body>
<h1>Transform a file demo</h1>
<form action="/transform" method="post" enctype="multipart/form-data">
<input type="file" name="data_file" />
<input type="submit" />
</form>
</body>
</html>
"""
@app.route('/transform', methods=["POST"])
def transform_view():
file = request.files['data_file']
if not file:
return "No file"
file_contents = file.stream.read().decode("utf-8")
csv_input = csv.reader(file_contents)
print(file_contents)
print(type(file_contents))
print(csv_input)
for row in csv_input:
print(row)
result = transform(file_contents)
response = …I have an excel file which has 3 columns as either date-time or date or time fields. I am reading it via xlrd package and I am getting time as milliseconds I suppose and when I am trying to convert it back to datetime I am getting wrong results.
I tried with converting the file to csv as well. That too doesn't help and I get weird datetime format which I am not able to comprehend.
Here is what I …
所以我有一个数据框,我通过合并训练(标记)和测试(未标记)数据帧形成.并且为了取消附加测试数据框,我保留了一个列,如果该行属于训练或测试,则该列具有标识符.现在我必须规范化所有列中的所有值,除了这一列"Sl No." 但我没有找到任何方法通过这一栏.这就是我在做的事情
import pandas as pd
import numpy as np
from sklearn.preprocessing import StandardScaler
data_norm = data_x_filled.copy() #Has training + test data frames combined to form single data frame
normalizer = StandardScaler()
data_array = normalizer.fit_transform(data_norm)
data_norm = pd.DataFrame(data_array,columns = data_norm.columns).set_index(data_norm.index)
我只想排除"Sl No."栏目 规范化但希望在规范化后保留它.
我试图将一个python数据框放到MS SQL DB,我收到以下错误
功能
def put_to_server(df): # df is a pandas data frame
server="KORNBSVM04\MSSQLSERVER2012"
Driver="{SQL Server}"
userid=''
pswd=''
cnxn = pyodbc.connect(driver=Driver, server=server, database="CIHOTLINE",uid=userid, pwd=pswd)
cur=cnxn.cursor()
df.to_sql(name='dbo.test',con=cnxn)
错误
File "C:\Python27\lib\site-packages\pandas\core\generic.py", line 950, in to_sql
index_label=index_label)
File "C:\Python27\lib\site-packages\pandas\io\sql.py", line 475, in to_sql
index_label=index_label)
File "C:\Python27\lib\site-packages\pandas\io\sql.py", line 1084, in to_sql
index_label=index_label)
File "C:\Python27\lib\site-packages\pandas\io\sql.py", line 543, in __init__
if self.pd_sql.has_table(self.name):
File "C:\Python27\lib\site-packages\pandas\io\sql.py", line 1094, in has_table
return len(self.execute(query).fetchall()) > 0
File "C:\Python27\lib\site-packages\pandas\io\sql.py", line 1041, in execute
raise_with_traceback(ex)
File "C:\Python27\lib\site-packages\pandas\io\sql.py", line 1030, in execute
cur.execute(*args) …我正在生成一个ggplot plot并将其保存为.png图像.虽然在Rstudio中生成的绘图根据y轴的值拉伸,但是当我将其保存为时,我得到一个方形图像.png.
如何在.png表格中自动获得最佳拉伸图像？
# Function to store ggplot plot object as .png image file
savePlot <- function(myPlot, filename) {
png(filename)
print(myPlot)
dev.off()
}
# ggplot object
normalized_bar_plot = ggplot(dat, aes(factor(temp), norm, fill = type)) +
geom_bar(stat="identity", position = "dodge") + ylab("Normalized count")+xlab(features[i])+
scale_fill_brewer(palette = "Set1")
filename = paste0("image_", features[i], ".png")
savePlot(normalized_bar_plot, filename)