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I love the program. I could wish it had some other features for editing the existing documents but for what I generally need (real estate forms) it is fantastic!
2018-10-10
This app is great. I can handle all of my business's contract signing operations and form generation with one tool! I would like to see more mobile app functionality.
2019-01-17
Customer service is A1!
Wow! Customer service is A1!I needed to fill out some forms for an outfit, a one-time thing, and signed up for the trial month.Later in the month I tried to cancel the trial period before my credit card was charged the $20, but I forgot which email account I'd used to sign up, so I was unable to log in to my PDFfiller account.Today, when I received the email saying my credit card was charged the $20, I was able to contact PDFfiller since I now knew which account I'd used. I contacted them via "Contact Support" in their website and explained my situation. OMG! When it said I should receive an email in 20 minutes or less, I was thinking, "Yeah, right!" but it was literally only minutes before I received an email saying they would be glad to cancel the subscription and refund my money.If I ever need this type of service on a more regular basis, I will definitely be signing up with this company!
2020-04-13
One of the best customer service I’ve…
One of the best customer service I’ve ever experienced !!
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2024-05-11
PDFfiller for contracts
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It can get too expensive at times if you aren't getting discounts or special offers.
2022-05-21
I’m amazed with the fast response the…
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AAA for this company!
2021-11-23
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I have been able to fill out pdf forms to submit documents online. It saves the time of printing the pdf, filling it out and then scanning.
2021-08-16
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I made a mistake and accidentally signed up for this service. When I got the bill for $96, I was shocked. I thought it was going to be such a hassle and was so pleasantly surprised. I got a full refund within an hour of writing to them with a very nice note.
2021-08-10
Would recommend 100%
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2020-05-13
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How do I merge two columns in pandas?
As many have mentioned previously, you must convert each column to string and then use the plus operator to combine two string columns. You can get a large performance improvement by using NumPy. I think the best way to combine the columns in pandas is by converting both the columns to integer and then to STR.
How do I merge two series in pandas?
Use pandas. Concat() to merge two Series Call pandas. Concat(obis, axis=1) with obis as a sequence of two Series to create a Database with obis as columns.
How do you merge series into data frames?
1. Construct a data frame from the series. After that merge with the data frame. 3. Specify the data as the values, multiply them by the length, set the columns to the index and set paras for left_index and set the right_index to True:
What is the difference between merge and join in pandas?
join() methods as a convenient way to access the capabilities of pandas. Join(df2) always joins via the index of df2, but df1. Merge(df2) can join to one or more columns of df2 (default) or to the index of df2 (with right_index=True). Lookup on left table: by default, df1.
How do I merge two Databases in Python?
Below, is the cleanest, comprehensible way of merging multiple data frame if complex queries aren't involved. Just simply merge with DATE as the index and merge using OUTER method (to get all the data). So, basically load all the files you have as data frame. Then merge the files using merge or reduce function.
How do I merge two columns in Excel?
Select the cell where you want to put the combined data. Type = and select the first cell you want to combine. Type & and use quotation marks with a space enclosed. Select the next cell you want to combine and press enter. An example formula might be =A2&” “&B2.
How do I merge first and last name columns in Excel?
1. = Concatenate(A2, “,B2) Step 1: In a blank cell, such as C2, enter the formulas of =Concatenate(A2, “,B2), see screenshot: 2. = A2&” “&B2.
How do you merge data frames?
Specify the join type in how command. A left join, or left merge, keeps every row from the left data frame. Result from left-join or left-merge of two data frames in Pandas. Rows in the left data frame that have no corresponding join value in the right data frame are left with Nan values.
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