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)
Related
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
I am trying to calculate SAVI vegetation index using MODIS data. But I am getting an error showing:
Image.select: Pattern 'B2' did not match any bands.
Code:
countries = ee.FeatureCollection("USDOS/LSIB_SIMPLE/2017")
canada = countries.filter(ee.Filter.eq("country_na", "Canada"))
image = ee.ImageCollection("MODIS/061/MOD09A1")\
.filterDate('2017-01-01','2017-12-31')\
.filter(ee.Filter.lt('CLOUDY_PIXEL_PERCENTAGE',10))\
.filterBounds(canada)\
.median()\
.clip(canada)
savi = image.expression(
'1.5*((NIR-RED)/(NIR+RED+0.5))',{
'NIR':image.select('B2'),
'RED':image.select('B1')
}).rename('savi')
saviVis = {'min':0.0, 'max':1, 'palette':['yellow', 'green']}
Map = geemap.Map()
Map.addLayer(savi, saviVis, 'SAVI')
Map
Why am I getting this error? Isn't B1 designated to Red and B2 to NIR?
The general thing to do when you hit this type of problem is to start examining the dataset for what is actually there — how many images are you matching, what properties and bands those images have, etc. I found two problems:
Your filter criteria matched zero images. Therefore the collection is empty, and therefore the median() image from that collection has no bands at all. (You can check this by putting the collection in a variable and printing the size() of it.) You will need to adjust the criteria.
It seems that the main reason they didn't match is that the images in MODIS/061/MOD09A1 do not have a CLOUDY_PIXEL_PERCENTAGE property.
The band names for MODIS/061/MOD09A1 are not B1, B2, ... but sur_refl_b01, sur_refl_b02 and so on. You can see this with the Inspector in the Earth Engine Code Editor, or on the dataset description page.
Perhaps you were working from information about a different dataset?
With the two problems above fixed, your code produces some results. This is the (JS) version I produced while testing (Code Editor link):
var countries = ee.FeatureCollection("USDOS/LSIB_SIMPLE/2017");
var canada = countries.filter(ee.Filter.eq("country_na", "Canada"));
var images = ee.ImageCollection("MODIS/061/MOD09A1")
.filterDate('2017-01-01','2017-12-31')
// .filter(ee.Filter.lt('CLOUDY_PIXEL_PERCENTAGE',10))
.filterBounds(canada);
// print(images);
var image = images.median().clip(canada);
Map.addLayer(canada);
Map.addLayer(image);
var savi = image.expression(
'1.5*((NIR-RED)/(NIR+RED+0.5))',{
'NIR':image.select('sur_refl_b02'),
'RED':image.select('sur_refl_b01')
}).rename('savi');
var saviVis = {'min':0.0, 'max':1, 'palette':['yellow', 'green']};
Map.addLayer(savi, saviVis, 'SAVI')
I want to do a barplot like this one (with different values):
Here's my dataframe:
Here's the top part of my code:
library("openxlsx")
library(ggplot2)
library("reshape")
df1<- read.xlsx("graficosparaR.xlsx", sheet = 'Hoja2', colNames = TRUE)
I tried using ggplotfunction, but I can't get it (I'm a beginner R user).
Could you help me writing the code for the barplot?
So I need to screen scrape data off a website and return it to a spreadsheet based off if a charge amount matched as well the date was the most recent in the table. If there was simply one line in the table, the macro pulls that accordingly. So most of the code is good, I am connected to the website, pulling everything effectively. Where I am struggling is getting the logic to work where the two amounts match as well as the date being the most recent in the HTML table.
I guess what my question is how do I loop through Item(5) the column of that table and specify it to choose the most recent date, also setting the value so that it only finds the one equal to the charge amount. I only want a one to one match. I am new to this so if anyone wants to help me I would greatly appreciate it.
Set IHEC = iHTMLDoc.getElementsByTagName("TR")
If IHEC.Length > 2 Then
For index = 0 to IHEC.Length - 1
Set IHEC_TD = IHEC.Item(index).getElementsByTagName("TD")
Do Until IHEC.Length <2 Or index = IHEC.Length - 1
If IHEC.TD.Item(3).innerText = myBilledAmount Then
myItem1 = IHEC_TDItem(0).innerText
myItem2 = IHEC_TDItem(1).innerText
myItem3 = IHEC_TDItem(2).innerText
myItem4 = IHEC_TDItem(3).innerText
myItem5 = IHEC_TDItem(4).innerText
myItem6 = IHEC_TDItem(5).innerText
myItem7 = IHEC_TDItem(6).innerText
myItem8 = IHEC_TDItem(7).innerText
myItem9 = IHEC_TDItem(8).innerText
End If
End If
Loop
Next Index
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')