I have to filter the data, therefore I need to create new CSV file based on the filters.
I am having a trouble doing it, cause the new file does not change after I run the code
Below is my code. Where I have two csv file. Stage_3_try.csv file is the one I am trying to add new data. I used enumerate to get the index value of the specific value I searched in previous csv file.
# Projec
import csv
from csv import writer
A = np.array([ 316143.8829, 6188926.04])
B = np.array([ 314288.7418, 6190277.519])
for i in range(0,len(east_3)):
P = []
P.append(east_3[i])
P.append( north_3[i])
P = np.asarray(P)
projected = point_on_line(P) #a code to do the projection
x_values = [A[0], B[0]]
y_values = [A[1], B[1]]
plt.plot(x_values, y_values, 'b-')
if projected[0]>315745.75 and projected[1]>6188289:
with open('Stage_3_try.csv', 'a') as f_out:
writer = csv.writer(f_out)
for num, row in enumerate(stage_3['UTM North NAD83']):
if row == P[1]:
writer.writerow(stage_3.loc[[num][0]])
print(type(stage_3.loc[[num][0]]))
plt.plot(projected[0], projected[1], 'rx')
f_out.close()
else:
pass
PS: I updated the code, since the previous one worked, but when I added it to the loop, it stopped working
Related
I have made a code of creating a folder that shall contain the output of the same code in a csv file. But when I wish to make amendments to the code so as to modify the output obtained in the csv file, I do not wish to run into FileExistsError. Is there any way I can do that? Sorry if the query is a foolish one, as I am just beginning to learn Python. Here's my code:
path = Path('file\location\DummyFolder')
path.mkdir(parents=True)
fpath = (path / 'example').with_suffix('.csv')
colours = ['red','blue', 'green', 'yellow']
colour_count = 0
with fpath.open(mode='w', newline='') as csvfile:
fieldnames = ['number', 'colour']
thewriter = csv.DictWriter(csvfile, fieldnames=fieldnames)
thewriter.writeheader()
for colour in colours:
colour_count+=1
thewriter.writerow({'number':colour_count, 'colour':colour})
I am trying to grab data from a mysql database and put it in an excel template ( with macro's).
The template has mutiple sheets.I want to put the data in a specific sheet and specific cell ( B2 ) since the sheet already contains data.
The code i am using is:
wb= openpyxl.load_workbook('C:/Users/Olav/Desktop/Xenos/Nieuw.xlsx')
ws = wb['Dump Pickloc - del. web']
picklocaties = "SELECT Artikelnummer, Locatie,PICKZONE FROM picklocaties WHERE PICKZONE in ('BASIS','HL')"
df = pd.read_sql(sql=picklocaties, con=mydb)
rows = dataframe_to_rows(df)
for r in dataframe_to_rows(df, index=False, header=False):
ws.append(r)
I tryed using to_excel but that just deletes everything.
The template in which i am putting the data looks like This.
It would be great if this code would work but it does not have that option:
for r in dataframe_to_rows(df, index=False, header=False, startrow=1, startcol=1):
ws.append(r) \
Woah i'm half way there, woah living on prayer.
This codes gets me halfway. I get the columns now where i want without messing up the rest. But for some reason the rest of the data is not shown.
for col, text in enumerate(df, start=2):
ws.cell(column=col,row=2, value=text)
I am reading in a CSV file in the following format:
N,X,Y,Z
Eventually, I want to:
plot(N,X,B,Y,N,Z)
First, I have to read the data in, which I have:
reshape(csv2cell('file.csv',',',1,0),DIMx,DIMy)
I know that:
N = [*,1]
X = [*,2]
Y = [*,3]
Z = [*,4]
How do I take the slices and put them into their own separate array, so that I can plot?
I have a for loop iterating over a folder of one column csv's using glob, it makes some adjustments and then appends the results to a list and saves to a new csv, it resembles:
data= []
infiles = glob.glob("*.csv")
for file in infiles:
df = pd.io.parsers.read_csv(file)
(assorted adjustments)
data.append(df)
fullpanel = pd.concat(panel)
fullpanel.to_csv('data.csv')
The problem is that makes one long column, I need each column (of differing lengths) added next to each other.
I think you can add parameter axis=1 to concat for columns added next to each other. Also you can change pd.io.parsers.read_csv to pd.read_csv and panel to data in concat.
data= []
infiles = glob.glob("*.csv")
for file in infiles:
df = pd.read_csv(file)
(assorted adjustments)
data.append(df)
fullpanel = pd.concat(data, axis=1)
fullpanel.to_csv('data.csv')
I'm writing a trivia game app in C# that writes data to a binary file, then reads the data from the file into six labels. The six labels are as follows:
lblQuestion // This is where the question text goes.
lblPoints // This is where the question points goes.
lblAnswerA // This is where multiple choice answer A goes.
lblAnswerB // This is where multiple choice answer B goes.
lblAnswerC // This is where multiple choice answer C goes.
lblAnswerD // This is where multiple choice answer D goes.
Here is the code for writing to the binary file:
{
bw.Write(Question);
bw.Write(Points);
bw.Write(AnswerA);
bw.Write(AnswerB);
bw.Write(AnswerC);
bw.Write(AnswerD);
}
Now for the code to read data from the file into the corresponding labels:
{
FileStream fs = File.OpenRead(ofd.FileName);
BinaryReader br = new BinaryReader(fs);
lblQuestion.Text = br.ReadString();
lblPoints.Text = br.ReadInt32() + " points";
lblAnswerA.Text = br.ReadString();
lblAnswerB.Text = br.ReadString();
lblAnswerC.Text = br.ReadString();
lblAnswerD.Text = br.ReadString();
}
The Question string reads correctly into lblQuestion.
The Points value reads correctly into lblPoints.
AnswerA, AnswerB, and AnswerC DO NOT read into lblAnswerA, lblAnswerB and lblAnswerC respectively.
lblAnswerD, however, gets the string meant for lblAnswerA.
Looking at the code for reading data into the labels, is there something missing, some sort of incremental value that needs to be inserted into the code in order to get the strings to the correct labels?